This approach sums, for each week, how many other teams you would have beaten. A team’s expected win percentage is then calculated as the number of actual possible wins, divided by the maximum number of possible wins possible, 9*number of weeks.
This analysis tries to calculate expected wins as a function of points for, and a proxy for points against. The exponent used is 13.91.
Our league is setup so that each team plays each of the other 9 teams once during the first 9 weeks of the season, and then replays the first 4 teams they played. There are 362,880 such possible schedules.
This table shows, for each team, the maximum number of wins and the minimum number of wins that each team could have achieved over all possible schedules. It also shows out of the 362880 possible schedules, how many times a team achieves that number of wins.
This table contains each teams records if they and their opponent played their optimal lineups each week.
This section of analysis concerns projections.
This plot contains the average score of the user set lineup, and the average score of the lineup that was projected by ESPN to score the most each week.
This table containst the number of times that each team played the lineup that was projected by ESPN to score the most each week.
This table contains each owners record if they started the lineup that was projected by ESPN to score the most each week.
Note that a teams WR1/RB1 is the WR/RB each week that scored the most points.
A work by Luke Wilson
lvzwilson@gmail.com